Coastline Kriging: A Bayesian Approach
Abstract
Statistical interpolation of chemical concentrations at new locations is an important step in assessing a worker's exposure level. When measurements are available from coastlines, as is the case in coastal clean-up operations in oil spills, one may need a mechanism to carry out spatial interpolation at new locations along the coast. In this paper we present a simple model for analyzing spatial data that is observed over a coastline. We demonstrate four different models using two different representations of the coast using curves. The four models were demonstrated on simulated data and one of them was also demonstrated on a dataset from the GuLF STUDY. Our contribution here is to offer practicing hygienists and exposure assessors with a simple and easy method to implement Bayesian hierarchical models for analyzing and interpolating coastal chemical concentrations.
Cite
@article{arxiv.1807.02230,
title = {Coastline Kriging: A Bayesian Approach},
author = {Nada Abdalla and Sudipto Banerjee and Gurumurthy Ramachandran and Mark Stenzel and Patricia A. Stewart},
journal= {arXiv preprint arXiv:1807.02230},
year = {2018}
}